package com.fishercoder.solutions;

/**
 * Given a picture consisting of black and white pixels, find the number of black lonely pixels.

 The picture is represented by a 2D char array consisting of 'B' and 'W', which means black and white pixels respectively.

 A black lonely pixel is character 'B' that located at a specific position where the same row and same column don't have any other black pixels.

 Example:
 Input:
 [['W', 'W', 'B'],
 ['W', 'B', 'W'],
 ['B', 'W', 'W']]

 Output: 3
 Explanation: All the three 'B's are black lonely pixels.
 Note:
 The range of width and height of the input 2D array is [1,500].
 */
public class _531 {

    public int findLonelyPixel(char[][] picture) {
        int m = picture.length;
        int n = picture[0].length;
        int count = 0;
        for (int i = 0; i < m; i++) {
            for (int j = 0; j < n; j++) {
                if (picture[i][j] == 'B' && isLonely(i, j, picture, m, n)) {
                    count++;
                }
            }
        }
        return count;
    }

    private boolean isLonely(int row, int col, char[][] picture, int m, int n) {
        for (int i = 0; i < m; i++) {
            if (i != row) {
                if (picture[i][col] == 'B') {
                    return false;
                }
            }
        }

        for (int j = 0; j < n; j++) {
            if (j != col) {
                if (picture[row][j] == 'B') {
                    return false;
                }
            }
        }
        return true;
    }

}
